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Home / Our offerings / Sovereign Digital Transformation & Trusted AI
Technology, Data & AI

Sovereign Digital Transformation & Trusted AI

Modernise services and critical systems, and deploy AI within a governed, secure and reversible framework.

Directions générales · DSI · Directions data, risques & conformité

Critical systems

Modernising services and critical systems

Systems age, supplier dependencies build up, and service continuity rests on fragile balances that no one documents.

Modernisation pathwayTarget architecture, priorities, costs and reversibility built in from the design stage.
Build & integrationPlatforms, data and interfaces built and made reliable with the internal teams.
Security & continuityResilience, backups, recovery tests and supervision set up and verified.
Operations handoverDocumentation, access rights and operations teams trained and assessed.

Fixed-price framing, then a programme in stages. Reversibility is set under contract and tested before closing.

Trusted AI

Governance, compliance and controlled deployment of AI

AI uses develop faster than their rules: scattered use cases, poorly assessed risks, emerging dependencies on model providers.

AI governance frameworkPolicies, roles, committee structure and a register of uses, aligned with regulatory requirements.
Prioritised use casesSelection by value, risk and feasibility; a baseline for each deployment.
Controlled deploymentEvaluation, monitoring, auditability and reversibility of the systems put into production.
Internal capabilitiesTeams trained in the design, operation and control of uses.

Fixed-price framing, short pilots, then industrialisation by milestones within the governance framework set up.

Contact
Talk to the team Reply within two working days.

Frequently asked questions

How does an engagement begin?

With a focused diagnostic: baseline, risks, expected outcomes and an initial scope of work, designed to reach a commitment decision quickly.

What remains when GDC leaves?

The platforms, the governance framework, the documentation and the access rights, operated by trained teams. Continuity is verified by a handover test before closing.

How are results measured?

Service availability and lead times, reduced dependencies, compliance of AI uses and team autonomy, all tracked against the baseline.

Which critical system do you need to modernise without losing control of it?